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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Conformal Prediction for Multi-Source Detection on a Network AAAI 2026 Conformal Prediction Meets Long-tail Classification AAAI 2026 Conformal Risk Minimization with Variance Reduction UAI 2026 CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment EACL 2026 Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency AAAI 2026 Constrained Molecule Generation Modelled Using the Grammar Constraint AAAI 2026 Constrained Online Convex Optimization with Memory and Predictions AAAI 2026 Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes AAAI 2026 Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026 Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning AAAI 2026 Continuum Dropout for Neural Differential Equations AAAI 2026 Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning AAAI 2026 Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026 Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization JMLR 2026 Convergence of Continual Learning in Homogeneous Deep Networks COLT 2026 Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex Optimization JMLR 2026 Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026 Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 Convergence of Vector Quantization–Based Classifiers to the Bayes Optimal Classifier with Applications to Hybrid System Identification L4DC 2026 CONVERGENCE RATES FOR DISTRIBUTION MATCHING WITH SLICED OPTIMAL TRANSPORT COLT 2026 Convex Clustering Redefined: Robust Learning with the Median of Means Estimator AAAI 2026 Convex optimization with p-norm oracles ALT 2026 CoRiM: Conflict-driven Risk Minimization for Dynamic Multimodal Fusion CVPR 2026 Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression AAAI 2026 Corruptions of Supervised Learning Problems: Typology and Mitigations JMLR 2026